class_docstr: An MNIST model using Flax.
code: def predict(params, inputs, with_classifier=True):
      return FlaxMNIST.model.apply(
          {"params": params}, inputs, with_classifier=with_classifier
      )
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import functools
  import logging
  import re
  import time
  from typing import Any, Callable, Optional
  from absl import flags
  import flax
  from flax import linen
  import jax
  import jax.numpy
  from matplotlib import pyplot
  import numpy
  import optax
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 1 for calling the FlaxMNIST obj's underlying member method code with example usage: obj.predict(params, inputs, with_classifier) and returns: FlaxMNIST